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VapeTracker : Tracking vapor consumption to help e-cigarette users quit

El Ali, Abdallah (author)
University of Oldenburg, Oldenburg, Germany
Matviienko, Andrii (author)
University of Oldenburg, Oldenburg, Germany
Feld, Yannick (author)
University of Oldenburg, Oldenburg, Germany
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Heuten, Wilko (author)
OFFIS Institute for Information Technology, Oldenburg, Germany
Boll, Susanne (author)
University of Oldenburg, Oldenburg, Germany
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 (creator_code:org_t)
2016-05-07
2016
English.
In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. - New York, NY, United States : Association for Computing Machinery (ACM). ; , s. 2049-2056
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Despite current controversy over e-cigarettes as a smoking cessation aid, we present early work based on a web survey (N=249) that shows that some e-cigarette users (46.2%) want to quit altogether, and that behavioral feedback that can be tracked can fulfill that purpose. Based on our survey findings, we designed VapeTracker, an early prototype that can attach to any e-cigarette device to track vaping activity. We discuss our future research on vaping cessation, addressing how to improve our VapeTracker prototype, ambient feedback mechanisms, and the future inclusion of behavior change models to support quitting e-cigarettes.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)

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El Ali, Abdallah
Matviienko, Andr ...
Feld, Yannick
Heuten, Wilko
Boll, Susanne
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NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Human Computer I ...
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Royal Institute of Technology

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